Опубликована: Дек. 27, 2024
Telematics and Informatics, Год журнала: 2022, Номер 73, С. 101863 - 101863
Опубликована: Июль 27, 2022
Язык: Английский
Процитировано
87
IEEE Access, Год журнала: 2023, Номер 11, С. 9859 - 9875
Опубликована: Янв. 1, 2023
Augmented and Virtual Reality (AR VR), collectively known as Extended (XR), are increasingly gaining traction thanks to their technical advancement the need for remote connections, recently accentuated by pandemic. Remote surgery, telerobotics, virtual offices only some examples of successes. As users interact with XR, they generate extensive behavioral data usually leveraged measuring human activity, which could be used profiling users' identities or personal information (e.g., gender). However, several factors affect efficiency profiling, such technology employed, action taken, mental workload, presence bias, sensors available. To date, no study has considered all these together in entirety, limiting current understanding XR profiling. In this work, we provide a comprehensive on user technologies (i.e., AR, VR). Specifically, employ machine learning head, controllers, eye data) identify infer individual attributes age, Toward end, propose general framework that can potentially any from scenarios. We test our eleven generic actions walking, searching, pointing) involving low high loads, derived two distinct use cases: an AR everyday application (34 participants) VR robot teleoperation (35 participants). Our limits burden creating technology- action-dependent algorithms, also reducing experimental bias evidenced previous providing simple (yet effective) baseline future works. identified up 97% F1-score 80% AR. Gender Age inference was facilitated VR, reaching 82% 90% F1-score, respectively. Through in-depth analysis sensors' impact, found resulting more effective than mainly because presence.
Язык: Английский
Процитировано
29
Applied Sciences, Год журнала: 2023, Номер 13(2), С. 1135 - 1135
Опубликована: Янв. 14, 2023
The use of virtual reality as a safety training technology is gaining attention in the construction industry. While current studies focus mainly on development VR-based programs, focusing improving its effectiveness still lacking. Thus, this study aims to understand psychological process transfer and determine factors that affect VR effectiveness. analysed survey data from 248 workers who finished using PLS-SEM. results show telepresence experienced through risk perception trainees regarding occupational accidents significantly their satisfaction with training, which affected Considering context early stages, our study, comprehensively analyses both technological aspects could provide meaningful implications content developers. Furthermore, theoretical approach be implemented future topic
Язык: Английский
Процитировано
25
Scientific Reports, Год журнала: 2024, Номер 14(1)
Опубликована: Фев. 21, 2024
Abstract In the realm of robotics and automation, robot teleoperation, which facilitates human–machine interaction in distant or hazardous settings, has surged significance. A persistent issue this domain is delays between command issuance action execution, causing negative repercussions on operator situational awareness, performance, cognitive load. These delays, particularly long-distance operations, are difficult to mitigate even with most advanced computing advancements. Current solutions mainly revolve around machine-based adjustments combat these delays. However, a notable lacuna remains harnessing human perceptions for an enhanced subjective teleoperation experience. This paper introduces novel approach sensory manipulation induced adaptation delayed teleoperation. Drawing from motor learning rehabilitation principles, it posited that strategic manipulation, via altered stimuli, can feeling The focus not introducing new skills adapting conditions; rather, leverages prior coordination experience context objective reduce need extensive training sophisticated automation designs. human-centered experiment involving 41 participants was conducted examine effects modified haptic cues teleoperations were generated high-fidelity physics engines using parameters robot-end sensors engine simulations. results underscored several benefits, notably considerable reduction task time user about visual Real-time feedback, anchoring method, emerged as significant contributor showcasing reduced load, bolstered self-confidence, minimized frustration. Beyond prevalent methods design training, research underscores pivotal avenue It seeks enhance efficacy through rapid adaptation, offering insights beyond just optimizing robotic systems delay compensations.
Язык: Английский
Процитировано
8
International Journal of Human-Computer Studies, Год журнала: 2023, Номер 177, С. 103079 - 103079
Опубликована: Май 23, 2023
Virtual Reality (VR) is gaining ground in the robotics and teleoperation industry, opening new prospects as a novel computerized methodology to make humans interact with robots. In contrast more conventional button-based teleoperations, VR allows users use their physical movements drive robotic systems virtual environment. The latest devices are also equipped integrated eye-tracking, which constitutes an exceptional opportunity for monitoring users' workload online. However, such fairly recent, human factors have been consistently marginalized so far telerobotics research. We thus covered these aspects by analyzing extensive behavioral data during simulated guidance of industrial robot through pick-and-place task. Users drove via action-based controls under low (single-task) high (dual-task) mental demands. collected self-reports, performance eye-tracking data. Specifically, we asked i) how interactive features affect workload, additionally tested ii) sensibility diverse eye parameters vigilance throughout performed faster accurately, while showing lower when using control. Among parameters, pupil size was most resilient indicator it highly correlated self-reports not affected user's degree motion VR. Our results bring fresh human-centric overview human-robot interactions VR, systematically demonstrate potential contexts.
Язык: Английский
Процитировано
14
Lecture notes in mechanical engineering, Год журнала: 2025, Номер unknown, С. 271 - 278
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0
Actuators, Год журнала: 2025, Номер 14(4), С. 164 - 164
Опубликована: Март 26, 2025
This paper presents an alarm system and teleoperation control framework, comparing ROS 1 2 within a local network to mitigate the risk of robots failing reach their goals during autonomous navigation. Such failures can occur when robot moves through irregular terrain, becomes stuck on small steps, or approaches walls obstacles without maintaining safe distance. These issues may arise due combination technical, environmental, operational factors, including inaccurate sensor data, blind spots, localization errors, infeasible path planning, inability adapt unexpected obstacles. The integrates web-based graphical interface developed using frontend frameworks joystick for real-time monitoring robot’s localization, velocity, proximity is equipped with RGB-D tracking cameras, 2D LiDAR, odometry sensors, providing detailed environmental data. provides sensory feedback visual alerts web vibration walls, faces potential collisions objects, loses stability. evaluated in both simulation (Gazebo) real-world experiments, where latency measured performance assessed 2. results demonstrate that systems operate effectively real time, ensuring safety enabling timely operator intervention. offers lower LiDAR inputs, making it advantageous over 1. However, camera higher, suggesting need optimizations image data processing. Additionally, platform supports integration additional sensors applications based user requirements.
Язык: Английский
Процитировано
0
Journal of the Indian Institute of Science, Год журнала: 2025, Номер unknown
Опубликована: Апрель 2, 2025
Язык: Английский
Процитировано
0
Frontiers in Psychology, Год журнала: 2022, Номер 12
Опубликована: Янв. 20, 2022
The rapid improvement of technologies such as artificial intelligence in recent years has resulted the development smart (ST) that can influence learning performance different fields. purpose study is to explore link between technology and performance. Using S-O-R model a framework, researchers argue (Stimuli) will increase corporate trust, self-efficacy, well-being (Organism), resulting improved (Response). current regards trust self-efficacy relationship factors investigates their direct on employee mediating role played by these variables. Additionally, function moderating also explored. respondents (n = 516) present are made up employees from 10 logistics companies located China. data analysis conducted using AMOS software. results show affect through well-being. implementation initiatives corporations may provide positive workplace outcomes for (increased well-being), (more engagement performance), employ them (corporate self-efficacy).
Язык: Английский
Процитировано
17
Designs, Год журнала: 2023, Номер 7(1), С. 23 - 23
Опубликована: Фев. 1, 2023
Demographic changes, increasing life expectancy, and healthy expectancy lead to an increasingly ageing workforce. This condition has a growing impact on the workforce in today’s industries. However, old workers are not burden for companies They fundamental part of industrial ecosystem due consistency their human factors, namely large knowledge, experience, decision-making ability. For this reason, must be incorporated engaged through introduction digital age technologies improve working conditions extend active life. paper focuses novel design assistive based interconnection motion capture (MoCap) virtual reality (VR) systems as driver improvement task performance We intend explore how technological tool can help enhance work this, we study two different areas application: training, learning, communication older ergonomic analysis workplace operators. In end, pilot is proposed apply technology real environments.
Язык: Английский
Процитировано
7